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Squassina, A.

Publications and source records attributed to Squassina, A..

2 recordsLinked to original sources

Reduced taurine transporter expression in lymphoblastoid cell lines from Alzheimer's disease patients compared with age-matched controls: Therapeutic implications?

Taurine is an atypical amino acid that cannot form peptide bonds and thus does not take place in building proteins. Yet, taurine takes part in regulating many cell functions, including cell osmolarity and volume, mitochondrial function, membrane ion channels and neuronal activity, and cell survival. Taurine is synthesized by the liver, and available from consumption of meat and fish, but not plants. It has millimolar concentrations in the brain, skeletal muscle, blood, heart, retina, and other tissues. Taurine is transported from the liver (following synthesis) or the intestine (following consumption) to blood by the taurine transporter, encoded in humans by SLC6A6. A recent study reported that blood taurine declines dramatically in aged individuals. Several studies indicated that dietary taurine slows cognitive decline in Alzheimers disease (AD) model mice. We therefore measured SLC6A6 mRNA expression in human lymphoblastoid cell lines (LCLs) from AD patients and age-matched controls and observed 2.8-fold lower expression in AD LCLs (p=0.0005). Additionally, glutathione peroxidase 1 (GPX1), a key free-radical scavenging selenoenzyme, had reduced mRNA expression in LCLs from AD patients compared with controls. Our observations suggest that reduced taurine transporter expression may contribute to AD pathogenesis and that dietary taurine might be beneficial for slowing disease progression in early-stage AD. Clinical trials with dietary taurine supplementation of individuals with mild cognitive impairment (MCI) or early-stage AD are required to assess its tentative therapeutic potential.

genomics↗

Predicting Suicide Risk in Bipolar Disorder patients from Lymphoblastoid Cell Lines genetic signatures

This research investigates the genetic signatures associated with a high risk of suicide in Bipolar disorder (BD) patients through RNA sequencing analysis of lymphoblastoid cell lines (LCLs). By identifying differentially expressed genes (DEGs) and their enrichment in pathways and disease associations, we uncover insights into the molecular mechanisms underlying suicidal behavior. LCL gene expression analysis reveals significant enrichment in pathways related to primary immunodeficiency, ion channel, and cardiovascular defects. Notably, genes such as LCK, KCNN2, and GRIA1 emerged as pivotal in these pathways, suggesting their potential roles as biomarkers. Machine learning models trained on a subset of the patients and then tested on other patients demonstrate high accuracy in distinguishing low and high-risk of suicide in BD patients. Moreover, the study explores the genetic overlap between suicide-related genes and several psychiatric disorders. This comprehensive approach enhances our understanding of the complex interplay between genetics and suicidal behavior, laying the groundwork for future prevention strategies.

neuroscience↗